The Great Rewiring: How the pandemic set the stage for AI — and what’s next

Colette Stallbaumer, co-founder of Microsoft WorkLab and author of WorkLab: Five years that shook the business world, and ...

Guillermo del Toro on Generative AI: ‘I’d Rather Die’

The Oscar-winning director likened AI tech bros championing "natural stupidity" to the blind arrogance of Victor Frankenstein ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
Frontiers

The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
The New York Times

Lions, Chiefs see playoff odds plummet after Week 1. Is NFL Projection Model overreacting?

It’s one week, they say. Just one game. Don’t overreact to such a small sample size. You hear the same refrain every year. And while it is typically sound advice, the truth is: One result in a 17-game ...
Scientific Research Publishing

The Nexus of Sustainability, Economic Growth and Government Effectiveness: A Post-Pandemic Perspective ()

The interplay between economic growth, government effectiveness, and sustainability has been gaining increased attention in recent years. With the impact of climate change becoming a more critical and ...
marktechpost

Google AI’s New Regression Language Model (RLM) Framework Enables LLMs to Predict Industrial System Performance Directly from Raw Text Data

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
IEEE

GMM Selector-Based Anomaly Detection Model for Networks

Abstract: Ensemble models for network anomaly detection are often challenged by class imbalance, a condition known to substantially degrade predictive accuracy. To address this limitation, a novel ...
C&EN

BiDir-GRCO: A Bidirectional General Reaction Conditions Optimization Framework Integrating Multi-Armed Bandit and Regression Model

School of Artificial Intelligence, Guangxi Minzu University, No. 188, Daxue East Road, Xixiangtang District, Guangxi, Nanning 530006, China Guangxi Key Laboratories of Hybrid Computation and IC Design ...